On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,657 papers · 148 categories

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3 results for “DreamerV2”

Mastering Atari with Discrete World Modelscs.LG

DreamerV2 learns Atari game behaviors from a world model, achieving human-level performance.

problem Learning complex behaviors in Atari games from limited data.

method DreamerV2 uses a world model with discrete representations to predict behaviors in a compact latent space.

result Achieves human-level performance on 55 Atari tasks.

Atari games reinforcement learning world models discrete representations human-level performance

2020-10-05abs ↗pdf ↗

Dynamic Update-to-Data Ratio: Minimizing World Model Overfittingcs.LG

New method dynamically adjusts UTD ratio to balance under- and overfitting in RL.

problem Balancing under- and overfitting in world model learning for RL.

method Dynamic adjustment of UTD ratio based on validation performance on a small subset of experience data.

result Our method improves balance between under- and overfitting compared to default settings and competitive with extensive hyperparameter search.

reinforcement learning world model underfitting overfitting early stopping

2023-03-17abs ↗pdf ↗

Challenges and Opportunities in Offline Reinforcement Learning from Visual Observationscs.LG

Paper establishes baselines for offline RL from visual observations.

problem Challenges in offline reinforcement learning from visual observations with continuous action spaces.

method Simple baselines and benchmarking tasks for offline RL from visual observations.

result Simple modifications to existing online RL algorithms outperform existing offline RL methods.

Offline Reinforcement Learning Visual Observations Continuous Control DreamerV2 DrQ-v2

2022-06-09abs ↗pdf ↗